The Data and Model Integration section of Frontiers in Systems Biology publishes high-quality theoretical and applied research across all aspects of mathematical and statistical modelling, and data analysis and integration in systems biology.Read More
The Data and Model Integration section of Frontiers in Systems Biology publishes high-quality theoretical and applied research across all aspects of mathematical and statistical modelling and data analysis and integration in systems biology. Modelling plays a fundamental role in systems biology as it is pivotal in describing and understanding the behaviour of complex systems and can be used to generate new hypothesis, to predict systems’ behaviour and to inform experimental work. While dynamic modelling is central to bottom-up applications, top-down investigations rest on the analysis and modelling of complex and often heterogenous high dimensional data that can be integrated and analysed using combination of statistics, machine learning and network science.
Data and Model Integration plays an integral role in modern biological science and this interdisciplinary field of research solicits significant theoretical and applied advances in areas including, but not limited to:
Model identifiability and parameter fitting
Network inference and analysis
Data fusion and integration
Integrative papers combining theoretical and experimental investigations are particularly welcomed, as well as in-depth and comprehensive reviews focussing on practical and theoretical problems or bottlenecks and tutorial papers illustrating methods and approaches to systems modelling.
Indexed in: Google Scholar, CrossRef, CLOCKSS, OpenAIRE
Data and Model Integration welcomes submissions of the following article types: Brief Research Report, Case Report, Clinical Trial, Community Case Study, Data Report, Editorial, Field Grand Challenge, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Policy Brief, Protocols, Review, Specialty Grand Challenge, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Data and Model Integration, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Avenue du Tribunal Fédéral 34
CH – 1005 Lausanne
Tel +41(0)21 510 17 40
Fax +41 (0)21 510 17 01
For all queries regarding manuscripts in Review and potential conflicts of interest, please contact email@example.com
For queries regarding Research Topics, Editorial Board applications, and journal development, please contact firstname.lastname@example.org